The Department of Mathematics and Mathematical Statistics at Umeå University is opening a PhD position in mathematical statistics, focused on the interplay between optimization and machine learning. The position is for four years of doctoral studies which include both participation in research and postgraduate courses. Last day to apply is June 15, 2021.
Project description and tasks
The interplay between optimization and machine learning is the cornerstone of many important advances in inference systems and artificial intelligence in the last decade. The vast majority of machine learning applications are modeled and solved as an optimization problem. To accommodate the increasing complexity of problem models along with massive amounts of data, machine learning entails the development of new optimization methods. In contrast to the traditional black-box optimization framework, an end-to-end view of modeling and optimization is central to these novel algorithms.
Broadly speaking, the objective of this doctoral project is to develop new principles and algorithms to expand the practical and theoretical frontiers of optimization and machine learning. This project explores stochastic approximation and randomized linear algebra to introduce new methods effective for high dimensional problems, and to potentially explore their applications in statistical learning, deep neural networks, and reinforcement learning.
The project is part of the AI/MLX track of the Wallenberg AI, Autonomous Systems, and Software Program (WASP) and the PhD student will be enrolled in the WASP graduate school, see https://wasp-sweden.org/graduate-school/ for more information.
The PhD student will be admitted to third-cycle studies in either mathematical statistics (MS) or computational science and engineering (CSE) with specialization in mathematical statistics.
General entry requirements
To be admitted for studies at third-cycle level the applicant is required to have completed a second-cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications.
Specific entry requirements
For third-cycle studies in Mathematical Statistics, the applicant is required to have completed at least 60 ECTS credits within the field of mathematical statistics, statistics and mathematics, of which at least 15 ECTS credits shall have been acquired at second-cycle level.
For third-cycle studies in CSE, the applicant is required to have completed at least 90 ECTS credits in CSE courses, of which at least 30 ECTS credits shall have been acquired at second-cycle level. CSE courses refer to courses with major quantitative, statistical or computing science elements, such as courses in computing science, mathematics and mathematical statistics.
Applicants who in some other system either within Sweden or abroad have acquired largely equivalent skills are also eligible.
Programming skills (preferably MatLab or Python) are required. Good knowledge of English language, both written and spoken, are key requirements. Documented knowledge and experience in optimization and machine learning are merit.
You are expected to play an active role in the development of this doctoral project and also in the department. You are expected to have a scientific and result-oriented approach for your work. You should therefore have a very good communication and collaboration ability. You are structured, flexible and solution-oriented.
The assessments of the applicants are based on their qualifications and their ability to benefit from the doctoral-level education they will receive.
About the employment
The position is intended to result in a doctoral degree and the main task of the PhD student is to pursue their doctoral studies which include participation in research and doctoral courses, and to take part in the WASP graduate school. The duties can include teaching and other departmental work (up to a maximum of 20%). The employment is limited to the equivalent of four years of full-time (48 months) or up to five years for teaching part-time. Salary is set in accordance with the established salary levels for PhD position. The employment starts in the fall of 2021 or according to agreement.
You apply via our e-recruitment system Varbi. Log in and apply via the button at the bottom of the page. The deadline for applications is June 15, 2021.
A complete application should contain the following documents:
Applicants with a degree not from a Swedish university are encouraged to provide results obtained from GMAT (and/or GRE) and TOEFL/IELTS tests if available.
The Department of Mathematics and Mathematical Statistics values the qualities that an even gender distribution brings to the department, and therefore we particularly encourage female applicants.
The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (Chapter 12, 2§) and the decision regarding the position cannot be appealed.
Further information is provided by Professor Jun Yu, +46 90 7865127, firstname.lastname@example.org. You can also contact the head of department Åke Brännström for additional questions at email@example.com.
More information about the department: https://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/
We look forward to receiving your application!
Fall 2021 or according to agreement.
Jun Yu, professor
Åke Brännström, head of department
090-786 53 65
090-786 52 96
090-786 54 31